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An evaluation of independent component analyses with an application to resting-state fMRI

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Listed:
  • Benjamin B. Risk
  • David S. Matteson
  • David Ruppert
  • Ani Eloyan
  • Brian S. Caffo

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Suggested Citation

  • Benjamin B. Risk & David S. Matteson & David Ruppert & Ani Eloyan & Brian S. Caffo, 2014. "An evaluation of independent component analyses with an application to resting-state fMRI," Biometrics, The International Biometric Society, vol. 70(1), pages 224-236, March.
    • Handle: RePEc:bla:biomet:v:70:y:2014:i:1:p:224-236
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    File URL: http://hdl.handle.net/10.1111/biom.12111
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    References listed on IDEAS

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    1. Warren Torgerson, 1952. "Multidimensional scaling: I. Theory and method," Psychometrika, Springer;The Psychometric Society, vol. 17(4), pages 401-419, December.
    2. Eloyan, Ani & Ghosh, Sujit K., 2013. "A semiparametric approach to source separation using independent component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 383-396.
    3. Ying Guo, 2011. "A General Probabilistic Model for Group Independent Component Analysis and Its Estimation Methods," Biometrics, The International Biometric Society, vol. 67(4), pages 1532-1542, December.
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    Cited by:

    1. Zhao, Yuxuan & Matteson, David S. & Mostofsky, Stewart H. & Nebel, Mary Beth & Risk, Benjamin B., 2022. "Group linear non-Gaussian component analysis with applications to neuroimaging," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).

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